Qu Huanyu

PhD

Email：quhuanyu@@gdiist.cn

Personal Biography:

He graduated with a Bachelor’s degree in Measurement and Control Technology and Instrumentation from Tsinghua University in 2020. In 2023, He obtained a Master’s degree in Electronic Information from the Center for Brain-Like Computing Research at Tsinghua University. He has contributed to the publication of two papers in Science Robotics and applied for 11 patents.

Research Focus:

His primary research interests encompass brain-like computing system software, neural network compilation, brain-like computing architectures, and intelligent systems. During his master’s program, he was a key contributor to the development of the BiMap system software platform based on the TianjicX brain-like chip. This involved work on the design of the Intermediate Representation (IR) for the compilation system, the programming framework for hybrid neural networks, and the design and development of the compiler.

Representative Publications:

1. Ma S, Pei J, Zhang W, Wang G, Feng D, Yu F, Song C, Qu H et al. Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots[J]. Science Robotics, 2022, 7(67): eabk2948.

2. Yu F, Wu Y, Ma S, Xu M, Li H, Qu H et al. Brain-inspired multimodal hybrid neural network for robot place recognition[J]. Science Robotics, 2023, 8(78): eabm6996.

3. Lin J, Qu H, Ma S, et al. SongC: A compiler for hybrid near-memory and in-memory many-core architecture[J]. IEEE Transactions on Computers, 2023.

4. Li H, Ma S, Wang T, Zhang W, Wang G, Song C, Qu H, et al. HASP: Hierarchical asynchronous parallelism for multi-NN tasks[J]. IEEE Transactions on Computers, 2023.